The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Semiconducting Polymer Nanoparticles for Centimeters‐Deep Photoacoustic Imaging in the Second Near‐Infrared Window
Abstract
Thienoisoindigo‐based semiconducting polymer with a strong near‐infrared absorbance is synthesized and its water‐dispersed nanoparticles (TSPNs) are investigated as a contrast agent for photoacoustic (PA) imaging in the second near‐infrared (NIR‐II) window (1000–1350 nm). The TSPNs generate a strong PA signal in the NIR‐II optical window, where background signals from endogenous contrast agents, including blood and lipid, are at the local minima. By embedding a TSPN‐containing tube in chicken‐breast tissue, an imaging depth of more than 5 cm at 1064 nm excitation is achieved with a contrast‐agent concentration as low as 40 µg mL−1. The TSPNs under the skin or in the tumor are clearly visualized at 1100 and 1300 nm, with negligible interference from the tissue background. TSPN as a PA contrast in the NIR‐II window opens new opportunities for biomedical imaging of deep tissues with improved contrast.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Photoacoustic tomography: In vivo imaging from organelles to organs
Wang, L. V., & Hu, S. (2012) · Science · doi:10.1126/science.1216210 · Cited by 4,331
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
Transplacental Carcinogenesis by Stilbestrol
Folkman, J. (1971) · New England Journal of Medicine · doi:10.1056/nejm197108122850711 · Cited by 2,640
Welsher, K., Sherlock, S. P., & Dai, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014501108 · Cited by 958
Deep optical imaging of tissue using the second and third near-infrared spectral windows
Sordillo, L. A., Pu, Y., Pratavieira, S., Budansky, Y., & Alfano, R. R. (2014) · Journal of Biomedical Optics · doi:10.1117/1.jbo.19.5.056004 · Cited by 407
Cited by
Ratiometric optical nanoprobes enable accurate molecular detection and imaging
Huang, X., Song, J., Yung, B. C., Huang, X., Xiong, Y., & Chen, X. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00612h · Cited by 820
Stimuli-Responsive Polymer-Based Nanosystems for Cancer Theranostics
Wei, D., Sun, Y., Zhu, H., & Fu, Q. (2023) · ACS Nano · doi:10.1021/acsnano.3c06019 · Cited by 303
Wen, K., Tan, H., Peng, Q., Chen, H., Ma, H., Wang, L., Peng, A., Shi, Q., Cai, X., & Huang, H. (2022) · Advanced Materials · doi:10.1002/adma.202108146 · Cited by 298
Gathering brings strength: How organic aggregates boost disease phototheranostics
Qi, J., Ou, H., Liu, Q., & Ding, D. (2021) · Aggregate · doi:10.1002/agt2.25 · Cited by 284
Wang, W., Zhang, X., Ni, X., Zhou, W., Xie, C., Huang, W., & Fan, Q. (2022) · Biomaterials Science · doi:10.1039/d1bm01646f · Cited by 49
Metadata
- Authors
- Wu, J., You, L., Lan, L., Lee, H. J., Chaudhry, S. T., Li, R., Cheng, J., & Mei, J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-09-18
- Volume
- 29
- Issue
- 41
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2754873054
- Cited by
- 160
- References
- 5
- FWCI
- 8.50
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Semiconducting Polymer Nanoparticles for Centimeters‐Deep Photoacoustic Imaging in the Second Near‐Infrared Window. https://app.cochat.ai/papers/10.1002/adma.201703403
- The paper
- Wu, J., You, L., Lan, L., Lee, H. J., Chaudhry, S. T., Li, R., Cheng, J., & Mei, J. (2017). Semiconducting Polymer Nanoparticles for Centimeters‐Deep Photoacoustic Imaging in the Second Near‐Infrared Window. Advanced Materials. https://doi.org/10.1002/adma.201703403
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
